… Third, we propose an image enhancement algorithm using our camera response model
and estimated exposure map. The experimental results have revealed the advance of our …

… quality of image enhancement [2]. … image enhancement quality measure. Therefore,
subjective evaluation is still the most reliable approach to assess the quality of enhanced images. …

… Such image-specific curve can effectively perform mapping within a wide dynamic range. 3)
… training a deep image enhancement model in the absence of reference images through task-…

… In order to ensure the enhancement effect of the model, we introduce unsupervised learning
… underwater image enhancement method in the field of underwater image enhancement is …

… This paper introduces a novel retinal image enhancement scheme based on particle swarm
… of retinal image in traditional PSO system in the field of image enhancement. Firstly, two sub…

… image enhancement approach adopts a two step strategy, combining white balancing and
image fusion, to improve underwater images … while image fusion is considered to enhance the …

… images are not conducive to human observation and computer vision algorithms due to their
low visibility. Although many image enhancement … - and over-enhancement. In this paper, …

… of the new a) localized quality measure (LQM), and b) genetic fingerprint image enhancement
(… steps used to obtain the optimal enhanced fingerprint images are provided in algorithm 1. …

… images which cannot obtain satisfactory reference images … image enhancement algorithms
qualitatively and quantitatively. In addition, we propose an underwater image enhancement …

… image processing applications have emerged with promising performance. Learning-based
low-light image enhancement … joint pipeline of image enhancement and detection methods. …